Neural network model field of the first arrival of seismic waves in Ukraine
DOI:
https://doi.org/10.24028/gzh.0203-3100.v38i1.2016.107726Keywords:
neural network simulation, time of longitudinal wave arrival, seismic research, DSS, the method of reverse transmission error, loss function, hodographAbstract
Application of DSS data of seismic studies in Ukraine to build models of neural network for time arrival field of seismic signals that allow to construct hodographs of longitudinal waves along arbitrarily oriented sections in regions that do not have seismic observations or to adjust velocity section applying one of the methods of hodograph inversion has been proposed. Comparison of the simulated time of longitudinal wave arrival with those ones that were registered in Ukraine has been made.
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